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BBioinfYeastzr
- 乳腺癌分类程序，带有有部分的原始数据，非常好 -Breast cancer classification procedures, raw data, with some very good
GBayesian_Claa
- 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。 -Gaussian model the long-term breast cancer data of the University of Wisconsin School of Medicine the Bayeux Yates pattern recognition. Recognition rate of 95 or more can be used as the p
Cancerdetection
- Cancer detection using C-Cancer detection using CNN
chapter28
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support vector machine classification- based on the diagnosis of breast tissue electrical impedance characteristics of breast cancer
case16
- 单层竞争神经网络的数据分类—患者癌症发病预测。 基于matlab编程的.m文件-Single-layer neural network data classification competition- in patients with cancer incidence predicted. Based on matlab programming m file
LVQ-matlab
- LVQ用于癌症细胞的识别，判断，模式识别。医学方面的应用例子。matlab程序-LVQ ，used in cancer disease,good matlab code!thanks
nets8_3456
- Now that we have determined the site, histology, behavior and grade of the cancer we are reporting, we must code the extent of disease. Lung cancers are coded based on the extent of the cancer and the size of the tumor. In this section of the present
which has a high mortality and the greatest incidence worldwide
- Lung cancer, which has a high mortality and the greatest incidence worldwide, can be diagnosed with the aid of chest x-rays or computerized tomography (CT). Some computer-aided diagnosis (CAD) systems have been developed to help physicians diag
Lung_cancer_B_splines
- Lung cancer is a disease of uncontrolled cell growth in tissues of the lung. Computed tomography (CT) shows promise in detecting lung cancers at earlier, more operable stages, when survival is better. CT scans generate multiple 2-D slice images o
IJCSI-9-1-2-171-179
- Diagnosing Prostate cancer is a challenging task for Urologists, Radiologists, and Oncologists. Ultrasound imaging is one of the hopeful techniques used for early detection of prostate cancer. The Region of interest (ROI) is identified by diffe
EJSR_72_3_04
- Breast cancer is the second most common cause of cancer death in women. Early detection is the only way to reduce the mortality. Mammography is the best available technique used for earlier detection. But due to manual reading the performance of
IJRRAS_11_2_09
- The effectiveness of cancer radiotherapy is compromised by the small proportion of patients who sustain severe normal tissue damage after standard radiotherapy treatments. Predictive tests are required to identify these highly radiosensitive cases an
Tidwell_Nature_2012
- p rimary lung cancer remains the leading cause of cancer-related death in the Western world, and the lung is a common site for recurrence of extrathoracic malignancies. Ssmall-animal (rodent) models of cancer can have a very valuable role in the de
LVQ
- LVQ神经网络的分类——乳腺肿瘤诊断，判定良性还是恶性-LVQ neural network classification- diagnosis of breast cancer
support_matlab_files
- A DNA-based Pattern Recognition Technique for Cancer Detection
PCA_and_ICA_project_june_8_2007
- A DNA-based Pattern Recognition Technique for Cancer Detection-Our findings indicate that the POD method can successfully detect both cancer types, although our approach can be applied to other types of disease or cancer.
DBN
- Bayesian Inference of Signaling Network Topology in a Cancer Cell Line-To shed light on signaling network topology in specic contexts, such as cancer, requires interrogation of multiple proteins through time and statistical approaches to make
Cancer-edge--detection
- 对细胞图像进行边缘的检测，通过实验的结果可以得到有效的细胞边缘。推荐下载。-Cell image edge detection, the results of the experiments can be an effective cell edge. Recommend to download.
LVQ-BP
- matlab的神经网络算法——解决乳腺肿瘤诊断问题，分别采用BP算法解决以及LVQ算法解决，包含样例乳腺肿瘤数据。-matlab neural network algorithm- to solve the problem of diagnosis of breast cancer, respectively, with BP algorithm to solve LVQ algorithm to solve, contains a sample of breast tumor data.
experimental-work
- Research work on breast cancer detection by microwave technology.